I-Corps: Versatile Statistical Platform to Analyze, Diagnose, Track, and Treat Neurological Disorders

这项提议的重点是一个新的统计平台，与可穿戴式传感技术相结合，客观和自动地评估嵌入在自然人类行为中的身体运动的有意和自发方面的实时变化。拟议的活动还将帮助团队更好地定制行为运动数据收集和分析，以满足潜在客户的不同需求。建议的活动(个性化行为分析统计平台，SPIBA)解决了当前运动捕捉数据分析技术中的两个基本缺陷：(1)在生理相关的时间尺度和频率内缺乏实时能力；(2)依赖于总体平均值而不是来自个体固有的生理特征的期望值。SPIBA不假定运动参数的理论高斯分布或齐次方差。取而代之的是，估计各种运动轨迹参数的潜在概率分布以及它们在信噪比中的实时移位。这些估计及其变化率对于个人来说是独一无二的，因此可以为真正个性化的药物制定治疗效果指标。

This proposal focuses on a new statistical platform paired with wearable sensing technology that objectively and automatically assesses real-time changes in the intentional and spontaneous aspects of physical motions embedded in natural human behaviors. The proposed activity will also help the team to better customize the behavioral motion data collection and analysis to address different needs of potential customers. Such customization can lead to more insight on various scientific questions involving the interconnections between brain and body functions during naturalistic behaviors, behavioral and pharmacological interventions, as well as in sports and performance training.The proposed activity (Statistical Platform for Individualized Behavioral Analyses, SPIBA) addresses two fundamental gaps in current analytical techniques for motion capture data: (1) The lack of real time capability within physiologically relevant time scales and frequencies; (2) The reliance on expected values from population averages rather than from the individual's inherent physiological features. SPIBA does not assume the Theoretical Gaussian distribution or homogeneous variance of motion parameters. Instead, the underlying probability distributions of various motion trajectory parameters along with their real time shifts in noise to signal ratios are estimated. These estimates and their rates of change are unique to the individual and therefore amenable to develop treatment effectiveness metrics for truly personalized medicine.